Toward quality data: an attribute-based approach
Decision Support Systems - Special issue on information technologies and systems
Information modeling and relational databases: from conceptual analysis to logical design
Information modeling and relational databases: from conceptual analysis to logical design
Temporal Entity-Relationship Models-A Survey
IEEE Transactions on Knowledge and Data Engineering
Modeling Context Information in Pervasive Computing Systems
Pervasive '02 Proceedings of the First International Conference on Pervasive Computing
A Software Engineering Framework for Context-Aware Pervasive Computing
PERCOM '04 Proceedings of the Second IEEE International Conference on Pervasive Computing and Communications (PerCom'04)
Applying a Disciplined Approach to the Development of a Context-Aware Communication Application
PERCOM '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications
Extending Context Models for Privacy in Pervasive Computing Environments
PERCOMW '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications Workshops
Middleware for distributed context-aware systems
OTM'05 Proceedings of the 2005 Confederated international conference on On the Move to Meaningful Internet Systems - Volume >Part I
Accommodating mesodata into conceptual modelling methodologies
Information and Software Technology
Ontonym: a collection of upper ontologies for developing pervasive systems
Proceedings of the 1st Workshop on Context, Information and Ontologies
Managing dynamic context to optimize smart interactions and services
The smart internet
Managing dynamic context to optimize smart interactions and services
The smart internet
A top-level ontology for smart environments
Pervasive and Mobile Computing
| Hi-index | 0.00 |
Context-aware applications rely on implicit forms of input, such as sensor-derived data, in order to reduce the need for explicit input from users. They are especially relevant for mobile and pervasive computing environments, in which user attention is at a premium. To support the development of context-aware applications, techniques for modelling context information are required. These must address a unique combination of requirements, including the ability to model information supplied by both sensors and people, to represent imperfect information, and to capture context histories. As the field of context-aware computing is relatively new, mature solutions for context modelling do not exist, and researchers rely on information modelling solutions developed for other purposes. In our research, we have been using a variant of Object-Role Modeling (ORM) to model context. In this paper, we reflect on our experiences and outline some research challenges in this area.